Izvestiya, Physics of the Solid Earth

, Volume 48, Issue 5, pp 410–414 | Cite as

Application of the SP algorithm to the INTERMAGNET magnetograms of the disturbed geomagnetic field

  • R. V. Sidorov
  • A. A. Soloviev
  • Sh. R. Bogoutdinov
Article

Abstract

The algorithmic system developed in the Laboratory of Geoinformatics at the Geophysical Center, Russian Academy of Sciences, which is intended for recognizing spikes on the magnetograms from the global network INTERMAGNET provides the possibility to carry out retrospective analysis of the magnetograms from the World Data Centers. Application of this system to the analysis of the magnetograms allows automating the job of the experts-interpreters on identifying the artificial spikes in the INTERMAGNET data. The present paper is focused on the SP algorithm (abbreviated from SPIKE) which recognizes artificial spikes on the records of the geomagnetic field. Initially, this algorithm was trained on the magnetograms of 2007 and 2008, which recorded the quiet geomagnetic field. The results of training and testing showed that the algorithm is quite efficient. Applying this method to the problem of recognizing spikes on the data for periods of enhanced geomagnetic activity is a separate task. In this short communication, we present the results of applying the SP algorithm trained on the data of 2007 to the INTERMAGNET magnetograms for 2003 and 2005 sampled every minute. This analysis shows that the SP algorithm does not exhibit a worse performance if applied to the records of a disturbed geomagnetic field.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bogoutdinov, Sh.R., Gvishiani, A.D., Agayan, S.M., Soloviev, A.A., and Kihn, E., Recognition of Disturbances with Specified Morphology in Time Series. Part 1: Spikes on Magnetograms of the Worldwide INTERMAGNET Network, Izv. Phys. Earth, 2010, vol. 46, no. 11, pp. 1004–1016.CrossRefGoogle Scholar
  2. Ishkov, V.N., The Current XXIII Cycle of Solar Activity: The Development and Main Properties, the World Data Center on Solar-Terrestrial Physics, Moscow, Russia. http://www.wdcb.ru/stp/cyc23.html. Cited March 15, 2011.
  3. Kleimenova, N.G., Geomagnetic Pulsations, in Modeli kosmosa (Models of Space), Panasyuk, M.I., Ed., Moscow: MGU, 2007, pp. 511–627.Google Scholar
  4. Love, J.J., Magnetic Monitoring of Earth and Space, Phys. Today, 2008, vol. 61, pp. 31–37.CrossRefGoogle Scholar
  5. Soloviev, A.A., Bogoutdinov, Sh.R., Agayan, S.M., Gvishiani, A.D. and Kihn, E., Detection of Hardware Failures at INTERMAGNET Observatories: Application of Artificial Intelligence Techniques To Geomagnetic Records Study, Rus. J. Earth Sci., 2009, no. 11, p. ES2006. doi: 10.2205/2009ES000387.Google Scholar
  6. The Latest AA* Listing of Major Magnetic Storms. National Geophysical Data Center, 2011. ftp://ftp.ngdc.noaa.gov/STP/GEOMAGNETIC-DATA/AASTAR/aastar.lst.v12. Cited June 16, 2011.
  7. Zadeh, L.A., Fuzzy Sets, Inform. Control, 1965, no. 8, pp. 338–353.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2012

Authors and Affiliations

  • R. V. Sidorov
    • 1
  • A. A. Soloviev
    • 1
  • Sh. R. Bogoutdinov
    • 1
  1. 1.Geophysical CenterRussian Academy of SciencesMoscowRussia

Personalised recommendations